{"id":13569570,"url":"https://github.com/phausamann/sklearn-xarray","last_synced_at":"2025-04-13T05:34:06.656Z","repository":{"id":45809613,"uuid":"111443606","full_name":"phausamann/sklearn-xarray","owner":"phausamann","description":"Metadata-aware machine learning.","archived":false,"fork":false,"pushed_at":"2021-05-18T13:47:41.000Z","size":8440,"stargazers_count":102,"open_issues_count":17,"forks_count":12,"subscribers_count":9,"default_branch":"master","last_synced_at":"2024-04-24T05:02:36.658Z","etag":null,"topics":["framework","machine-learning","scikit-learn","xarray"],"latest_commit_sha":null,"homepage":"http://bit.do/sklearn-xarray","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/phausamann.png","metadata":{"files":{"readme":"README.rst","changelog":null,"contributing":".github/CONTRIBUTING.rst","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-11-20T17:48:50.000Z","updated_at":"2024-02-21T21:28:36.000Z","dependencies_parsed_at":"2022-09-16T18:11:09.743Z","dependency_job_id":null,"html_url":"https://github.com/phausamann/sklearn-xarray","commit_stats":null,"previous_names":[],"tags_count":7,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/phausamann%2Fsklearn-xarray","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/phausamann%2Fsklearn-xarray/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/phausamann%2Fsklearn-xarray/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/phausamann%2Fsklearn-xarray/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/phausamann","download_url":"https://codeload.github.com/phausamann/sklearn-xarray/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":223573917,"owners_count":17167368,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["framework","machine-learning","scikit-learn","xarray"],"created_at":"2024-08-01T14:00:41.480Z","updated_at":"2024-11-07T19:01:38.500Z","avatar_url":"https://github.com/phausamann.png","language":"Python","readme":".. -*- mode: rst -*-\n\n|Travis|_ |Coverage|_ |PyPI|_ |Black|_\n\n.. |Travis| image:: https://travis-ci.org/phausamann/sklearn-xarray.svg?branch=master\n.. _Travis: https://travis-ci.org/phausamann/sklearn-xarray\n\n.. |Coverage| image:: https://coveralls.io/repos/github/phausamann/sklearn-xarray/badge.svg?branch=master\n.. _Coverage: https://coveralls.io/github/phausamann/sklearn-xarray?branch=master\n\n.. |PyPI| image:: https://badge.fury.io/py/sklearn-xarray.svg\n.. _PyPI: https://badge.fury.io/py/sklearn-xarray\n\n.. |Black| image:: https://img.shields.io/badge/code%20style-black-000000.svg\n.. _Black: https://github.com/psf/black\n\nsklearn-xarray\n==============\n\n**sklearn-xarray** is an open-source python package that combines the\nn-dimensional labeled arrays of xarray_ with the machine learning and model\nselection tools of scikit-learn_. The package contains wrappers that allow\nthe user to apply scikit-learn estimators to xarray types without losing their\nlabels.\n\n.. _scikit-learn: http://scikit-learn.org/stable/\n.. _xarray: http://xarray.pydata.org\n\n\nDocumentation\n-------------\n\nThe package documentation can be found at\nhttps://phausamann.github.io/sklearn-xarray/\n\n\nFeatures\n----------\n\n- Makes sklearn estimators compatible with xarray DataArrays and Datasets.\n- Allows for estimators to change the number of samples.\n- Adds a large number of pre-processing transformers.\n\n\nInstallation\n-------------\n\nThe package can be installed with ``pip``::\n\n    $ pip install sklearn-xarray\n\nor with ``conda``::\n\n    $ conda install -c phausamann sklearn-xarray\n\n\nExample\n-------\n\nThe `activity recognition example`_ demonstrates how to use the\npackage for cross-validated grid search for an activity recognition task.\nYou can also download the example as a jupyter notebook.\n\n.. _activity recognition example: https://phausamann.github.io/sklearn-xarray/auto_examples/plot_activity_recognition.html\n\n\nContributing\n------------\n\nPlease read the `contribution guide \u003chttps://github.com/phausamann/sklearn-xarray/blob/master/.github/CONTRIBUTING.rst\u003e`_\nif you want to contribute to this project.\n","funding_links":[],"categories":["Uncategorized"],"sub_categories":["Uncategorized"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fphausamann%2Fsklearn-xarray","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fphausamann%2Fsklearn-xarray","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fphausamann%2Fsklearn-xarray/lists"}